Academic Master

Health Care

Healthcare Data Standards

In the healthcare sector, data standard is a term used to refer to the techniques, procedures, terminologies, and particulates in regard to the collection, sharing, storage as well as retrieval of information and data related to healthcare uses, which include medications, medical records, payments and reimbursements, radiological images, monitoring systems and medical devices and administrative processes.

The primary use of the data standards is the establishment of an aggregated, patient-centric electronic health record. The health data standard is also used in building an active local health data network, which facilitates the interchange and sharing of data among various independent sites involved in an individual’s care (Afify, 2016). Health data standards play a crucial role in the creation of a population database necessary for health monitoring and surveillance as well as bioterrorism defense mechanisms and strategies. Health data standards are an effective way of creating a personal health data record (Fife & Eckert, 2017).

Other uses of health data standards are the support of evidence-backed guidelines, offering a precise definition of the conditions of the clinical measurements and activities, as well as defining safety regarding what is likely to go wrong with the actions or measures. The health data standards are also used in the evaluation of datasets with the objective of confirming whether they are a real representation of data elements appropriate in the measurement of the results, including safety (Paprica & Schull, 2017).

There are various impacts of health data sets in documentation. Briefly, documentation refers to the techniques and activities used in the collection, coding, ordering, storage as well as retrieval of information to fulfill potential tasks. Health data standards emphasize the necessity of keeping patients’ records to facilitate continuous patient service. The health data standards have enabled safe and quality decision-making in the course of offering health care. This is by providing accurate and timeless information (Williams, Shankar & Eschenfelder, 2017). The major documentation objects are assessments, observations, and plans formulated during individual patient care.

There is a range of information and messaging data content linked to clinical capture, documentation, storage, retrieval, and application. A framework is established by the content standards and data structure, facilitating an optimal health record and efficient information sharing among the various health providers. The terminology standard is leveraged by the data content standard to simplify as well as unify the presentation of the data (Williams, Shankar & Eschenfelder, 2017). The most common terminology standards used in electronic health records are inclusive of those to be applied within. They include Continuity of Care Document/Record obtained from Health Level Seven and ASTM, Digital Imaging and Communications in Medicine abbreviated as DICOM, National Council for Prescription Drug Programs commonly referred to as NCPDP, Logical Observation Identifiers Names and Codes (LOINC), and SNOMED CT (Afify, 2016).

The health data standards have also impacted the nursing environment. Notably, the standards have a set of priorities and emphasis, thus setting different expectations in the health sector. The rules have significant contributions to the longitudinal perception of health data within as well as among the system as it has facilitated the unification of expectations regarding the methods used in the definition of data, storage as well as an exchange to satisfy the users’ requirements.

References

Afify, Y. (2016). Pharmaceutical Tracking System: An Improvement in Data Accuracy and Uses. Value In Health19(7), A504. http://dx.doi.org/10.1016/j.jval.2016.09.916

Fife, C., & Eckert, K. (2017). Harnessing electronic healthcare data for wound care research: Standards for reporting observational registry data obtained directly from electronic health records. Wound Repair And Regeneration25(2), 192-209. http://dx.doi.org/10.1111/wrr.12523

Paprica, P., & Schull, M. (2017). General Public Views on Uses and Users of Administrative Health Data. International Journal For Population Data Science1(1). http://dx.doi.org/10.23889/ijpds.v1i1.47

Williams, R., Shankar, K., & Eschenfelder, K. (2017). Two views of the data documentation initiative: Stakeholders, collaboration and metadata standards creation. Proceedings Of The Association For Information Science And Technology54(1), 455-462. http://dx.doi.org/10.1002/pra2.2017.14505401049

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